About: Using Topic Information to Improve Non-exact Keyword-Based Search for Mobile Applications

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Using Topic Information to Improve Non-exact Keyword-Based Search for Mobile Applications
Creator	Batista, Fernando Oliveira, João Ribeiro, Eugénio Ribeiro, Ricardo
Source	PMC
abstract	Considering the wide offer of mobile applications available nowadays, effective search engines are imperative for an user to find applications that provide a specific desired functionality. Retrieval approaches that leverage topic similarity between queries and applications have shown promising results in previous studies. However, the search engines used by most app stores are based on keyword-matching and boosting. In this paper, we explore means to include topic information in such approaches, in order to improve their ability to retrieve relevant applications for non-exact queries, without impairing their computational performance. More specifically, we create topic models specialized on application descriptions and explore how the most relevant terms for each topic covered by an application can be used to complement the information provided by its description. Our experiments show that, although these topic keywords are not able to provide all the information of the topic model, they provide a sufficiently informative summary of the topics covered by the descriptions, leading to improved performance.
has issue date	2020-05-18(xsd:dateTime)
bibo:doi	10.1007/978-3-030-50146-4_28
has license	no-cc
sha1sum (hex)	1bf73e17a9c5db7fb94d12eec04d8acd1bbf4ab8
schema:url	https://doi.org/10.1007/978-3-030-50146-4_28
resource representing a document's title	Using Topic Information to Improve Non-exact Keyword-Based Search for Mobile Applications
has PubMed Central identifier	PMC7274342
schema:publication	Information Processing and Management of Uncertainty in Knowledge-Based Systems
resource representing a document's body	covid:1bf73e17a9c5db7fb94d12eec04d8acd1bbf4ab8#body_text
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